Scale and nuTonomy release nuScenes, a self-driving dataset with over 1.4 million images

Datasets are the lifeblood of machine learning algorithms — they “teach” artificial intelligence (AI) facts about the world, in a manner of speaking. And in domains such as autonomous driving, it’s vitally important they’re of the highest quality.

That’s why nuTonomy today released a self-driving dataset called nuScenes that it claims surpasses in size and accuracy public datasets like KITTI, Baidu’s ApolloScape, and the Udacity Self-Driving Car library. Scale, a San Francisco-based data labeling startup, provided annotations.
____________________Source: venturebeat